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[Untitled]
- Source :
- Journal of Intelligent Information Systems. 19:7-23
- Publication Year :
- 2002
- Publisher :
- Springer Science and Business Media LLC, 2002.
-
Abstract
- Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful information to the human users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image mining is more than just an extension of data mining to image domain. It is an interdisciplinary endeavor that draws upon expertise in computer vision, image processing, image retrieval, data mining, machine learning, database, and artificial intelligence. In this paper, we will examine the research issues in image mining, current developments in image mining, particularly, image mining frameworks, state-of-the-art techniques and systems. We will also identify some future research directions for image mining.
- Subjects :
- Information retrieval
Association rule learning
Contextual image classification
Computer Networks and Communications
Computer science
Data stream mining
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
InformationSystems_DATABASEMANAGEMENT
Concept mining
Image processing
Image (mathematics)
Automatic image annotation
Artificial Intelligence
Hardware and Architecture
Image retrieval
Software
Information Systems
Subjects
Details
- ISSN :
- 09259902
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Journal of Intelligent Information Systems
- Accession number :
- edsair.doi...........a1f32447cbc448f6bfc0d2c0031c41b9